You-fu LIU, De-qin XIAO, Chun-tao WANG. Fertilized Eggs’ Air-Cell Change Monitoring Algorithm Based on Thermal-Image[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 572
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 2, 572 (2021)
Fig. 1. Collecting thermal images
Fig. 2. Schematic diagram of Faster-RCNN
Fig. 3. Flow chart of segment
Fig. 4. Multi-channel grayscale
(a): Default grayscale; (b): R channel; (c): G channel; (b): B channel
(a): Default grayscale; (b): R channel; (c): G channel; (b): B channel
Fig. 5. Otsu segment
(a): Thermal image of breeding eggs; (b): Default grayscale; (c): Otsu algorithm
(a): Thermal image of breeding eggs; (b): Default grayscale; (c): Otsu algorithm
Fig. 6. Structure of BP neural network
Fig. 7. Trend of total loss function
Fig. 8. Result of eggs detection
Fig. 9. Some segment of egg’s thermal images
(a): Thermal images; (b): Otsu algorithm; (c): BP neural network
(a): Thermal images; (b): Otsu algorithm; (c): BP neural network
Fig. 10. Segment’s images of egg and air cell
Fig. 11. Change of air cell size
Fig. 12. Correlation between the artificial measured value and thermal-image measured value
|
Table 1. Instrument parameter value
|
Table 2. Learning rate and momentum coefficient
|
Table 3. Hidden layers’ optimization of BP neural network
|
Table 4. Hyperparameters’ optimization of BP neural network
|
Table 5. Comparison of algorithms for segment
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20